data: min [ S , min $integral dX$ ( OLE2 CPT ESCENARIO1 WETDAY ) ]

served from 129.236.110.25

min [ S , min ∫dX ( OLE2 CPT ESCENARIO1 WETDAY ) ]: S, Probabilidades -Días Lluviosos - Categorías data

min [ S , min ∫dX ( OLE2 CPT ESCENARIO1 WETDAY ) ].

Independent Variables (Grids)

Categorias: grid: /C (ids) unordered [ (Bajo la Normal) (Normal) (Sobre la Normal)] :grid
S (forecast_reference_time): grid: /S (days since 1960-01-01) ordered [ (0000 1 Jan 2000) (0000 1 Feb 2000) (0000 1 Mar 2000) ... (0000 1 Dec 2025)] N= 312 pts :grid
Longitude (longitude): grid: /X (degree_east) ordered (118W) to (28W) by 0.5 N= 181 pts :grid

Other Info

calendar: standard
datatype: realarraytype
fnname: min
gridid: 175472344
missing_value: NaN
pointwidth: 0
scale_max: null
scale_min: null
standard_name: forecast_reference_time
units: days since 1960-01-01
standard units*: 86400 ( seconds since 1960-01-01 00:00.000 )
history: min over Y[32.75N, 62.75S]

Last updated: Sat, 06 Dec 2025 07:30:02 GMT

Data Views

	C	S	X
OLE2 CPT ESCENARIO1[ABOVETMAX ODDSTMAX ODDSTMIN PROPENSION TMED PROBABILIDADESTMED BELOWTMAX BELOW SPEARMAN SPEARMANTMED BELOWTMIN TMIN PROBABILIDADESWETDAYS PRECIPITACION PROPENSIONTMAX SPEARMANWET AFC SPEARMANTMAX PROPENSIONTMIN BELOWWET ODDSTMED AFCTMIN ABOVEWET WETDAY target_date AFCTMED AFCWET ABOVETMIN AFCTMAX PROBABILIDADES TMAX PROBABILIDADESTMAX PROPENSIONWETDAYS ODDSWETDAYS ABOVETMED ODDS PROPENSIONTMED PROBABILIDADESTMIN ABOVE SPEARMANTMIN BELOWTMED ]
grid: /X (degree_east) ordered (117.75W) to (28.25W) by 0.5 N= 180 pts :grid			O=-0.25
grid: /Y (degree_north) ordered (32.75N) to (62.75S) by 0.5 N= 192 pts :grid
grid: /C (ids) unordered [ (Bajo la Normal) (Normal) (Sobre la Normal)] :grid	M
min [ S , min $integral dX$ ( OLE2 CPT ESCENARIO1 WETDAY ) ][ \| S X C]	M	M	M

Filters

Here are some filters that are useful for manipulating data. There are actually many more available, but they have to be entered manually. See Ingrid Function Documentation for more information.

Monthly Climatology calculates a monthly climatology by averaging over all years.
anomalies calculates the difference between the (above) monthly climatology and the original data.
Integrate along S X C
Differentiate along S X C
Take differences along S X C